AI Cybersecurity Architect – Governance, Control Frameworks

Das ist der Job

Fluency in English.

Darum lohnt es sich

Align internal AI governance with international standards (such as NIST AI RMF, ISO/IEC 42001, and OWASP Top 10 for LLMs) while strictly ensuring compliance with evolving Central Bank of Egypt regulations and the Egyptian Data Protection Law. • Design & Build Cybersecurity Controls: Architect, enforce, and validate technical and administrative security controls tailored for the entire AI/ML lifecycle (Data Ingestion, Training, Deployment, and Inference).

Deep familiarity with traditional frameworks (NIST SP 800‑53, ISO 27001) as well as modern AI‑specific guardrails is a must. • Strong conceptual and practical understanding of AI/ML infrastructure, including neural networks, LLM orchestration layers, vector databases, and cloud data platforms (Azure, AWS, or hybrid environments).

Must possess the professional maturity to present complex AI risks to C‑suite executives and board members while maintaining the technical credibility to influence data science teams. Responsibilities • Establish AI Security Governance Frameworks: Author, implement, and maintain the bank's enterprise-wide AI Security Policy.

This includes building robust controls against data poisoning, model inversion, prompt injection, and unauthorized data exfiltration. • Secure MLOps Architecture: Define reference architectures and secure guardrails for our Machine Learning Operations (MLOps) pipelines.

Ensure security checks, vulnerability scanning, and model integrity verifications are seamlessly integrated into continuous deployment workflows. • Advanced AI Threat Modeling & Risk Assessment: Lead comprehensive risk assessments and threat‑modeling exercises on all proprietary and third‑party AI implementations.

Identify structural risks in algorithmic logic, training data pipelines, and API integrations, translating technical risks into clear business governance metrics. • Third‑Party & Vendor AI Governance: Develop and execute rigorous cybersecurity assessment frameworks for evaluating third‑party AI tools, cloud‑hosted models, and external vendors, ensuring they meet the bank’s strict data privacy and control standards.

Requirements • 8+ years of progressive experience in Cybersecurity Architecture or IT Risk Governance, with at least 3+ years of dedicated experience explicitly focused on securing AI/ML systems and building enterprise governance frameworks. • Minimum of 3 years of experience working within a regulated financial institution in Egypt, with an intricate understanding of Central Bank of Egypt cybersecurity circulars, auditing standards, and banking compliance requirements. • Proven track record of designing, writing, and implementing complex cybersecurity control frameworks from scratch.

Must speak the language of both data scientists and enterprise security engineers. • Bachelor’s degree in Cybersecurity, Computer Engineering, Computer Science, or a related technical discipline. • Elite security certifications are highly preferred (e.g., CISSP, CISM, CRISC, or CCSP), alongside any specialized AI security credentials. • Exceptional communication and stakeholder management skills.

Core Competencies Demonstrates expertise in establishing AI Security Governance Frameworks and designing cybersecurity controls tailored for AI/ML systems. Possesses a strong understanding of regulatory compliance within the financial sector, particularly in relation to Central Bank of Egypt regulations and data protection laws.